Results 61 to 70 of about 5,738 (222)
Micro-Doppler signatures can be a useful source of information for target classification. The exploitation of these signatures is difficult because of the presence of stationary target and noise that enters the receiver antenna beam.
Clemente, Carmine +3 more
core +1 more source
WiWeHAR: Multimodal Human Activity Recognition Using Wi-Fi and Wearable Sensing Modalities
Robust and accurate human activity recognition (HAR) systems are essential to many human-centric services within active assisted living and healthcare facilities.
Muhammad Muaaz +4 more
doaj +1 more source
Abstract The labor care guide (LCG) is a new tool for monitoring labor, introduced to replace the partograph, which had been used improperly and inconsistently across various contexts. Early research suggests that healthcare practitioners view the LCG as a tool that enhances the quality of care during labor and delivery.
Amalia N. N. Ilonga +1 more
wiley +1 more source
Radar Micro-Doppler Signature Classification using Dynamic Time Warping
This paper describes the first feasibility study using dynamic time warping (DTW) to classify the micro-Doppler signature (μ-DS ) for radar automatic target recognition (ATR). Real radar data has been used in the testing, and the performance of the DTW
Woodbridge, Karl +2 more
core +1 more source
Flow angle dependence for the asymmetry of broad 50-MHz coherent echoes at large magnetic aspect angles [PDF]
International audienceThe skewness of broad Type 2-like spectra has been studied using data collected by two orthogonal CW 50-MHz radio links with co-located scattering volumes. Geometrical aspect angles of observations were about 10°.
Sofko, G.J. +11 more
core +1 more source
Orientation-Independent Human Activity Recognition Using Complementary Radio Frequency Sensing
RF sensing offers an unobtrusive, user-friendly, and privacy-preserving method for detecting accidental falls and recognizing human activities. Contemporary RF-based HAR systems generally employ a single monostatic radar to recognize human activities ...
Muhammad Muaaz +2 more
doaj +1 more source
Human Motion Recognition With Limited Radar Micro-Doppler Signatures
The performance of deep learning (DL) algorithms for radar-based human motion recognition (HMR) is hindered by the diversity and volume of the available training data. In this article, to tackle the issue of insufficient training data for HMR, we propose an instance-based transfer learning (ITL) method with limited radar micro-Doppler (MD) signatures ...
Xinyu Li 0007 +5 more
openaire +4 more sources
Renal screening sonography—A comparative study in a Portuguese basic emergency service
Renal sonography screening aids in clinical decision‐making for patients with suspected renal colic. This study intends to compare the accuracy and pertinence of sonographic findings obtained by a sonographer in a Basic Emergency Service (BES) with that of radiologists at Referral Hospital (RH) in Portugal. Renal sonography screening was able to detect
Sérgio Miravent +9 more
wiley +1 more source
Using S‐band dual‐polarization radar and disdrometers during PRECIP 2022 in Taiwan, we analyze a Mei‐Yu frontal event with widespread stratiform rain and embedded convection. Multiple disdrometers are used to create a novel drop size distribution model for S‐band radars resolving both the drizzle and precipitation modes. The model reveals both inferred
Ian C. Cornejo +3 more
wiley +1 more source
Micro-doppler detection in forward scattering radar: theoretical analysis and experiment [PDF]
Forward scatter radar (FSR) is actively studied in the field of radars, as it has many advantages such as robust to radar absorbing material and possibility in target recognition.
Salah, Asem Ahmad +5 more
core +1 more source

